Reorganize the kernels into nhwc, nchw and common folders

The Following kernels have been split into nchw/nhwc kernels files:

- batchnormalization_layer
- batch_to_space
- channel_shuffle
- depth_to_space
- dequantization_layer
- im2col
- normalization_layer
- normalize_planar_yuv_layer
- normalize_planar_yuv_layer_quantized
- pooling_layer
- pooling_layer_quantized
- remap
- reorg_layer
- scale
- scale_quantized
- space_to_batch
- space_to_depth
- upsample_layer
- winograd_filter_transform
- winograd_input_transform
- winograd_output_transform

The following kernels have been moved to nchw folder:
- direct_convolution1x1
- direct_convolution3x3
- direct_convolution5x5
- direct_convolution_quantized
- prior_box_layer

The following kernels have been moved to nhwc folder:
- direct_convolution
- dwc_native_fp_nhwc
- dwc_native_quantized_nhwc

The following kernels have been removed:
- sobel_filter

While the rest kerenls have been moved to the common folder.

Partially resolves COMPMID-4453

Signed-off-by: Adnan AlSinan <adnan.alsinan@arm.com>
Change-Id: Ic327ac935687ec351c610c65a3c6357f364a5a58
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5919
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>

1 files changed, 97 insertions, 0 deletions

diff --git a/src/core/CL/cl_kernels/common/tile.cl b/src/core/CL/cl_kernels/common/tile.cl
new file mode 100644
index 0000000000..4332411688
--- /dev/null
+++ b/src/core/CL/cl_kernels/common/tile.cl
@@ -0,0 +1,97 @@
+/*
+ * Copyright (c) 2018-2021 Arm Limited.
+ *
+ * SPDX-License-Identifier: MIT
+ *
+ * Permission is hereby granted, free of charge, to any person obtaining a copy
+ * of this software and associated documentation files (the "Software"), to
+ * deal in the Software without restriction, including without limitation the
+ * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
+ * sell copies of the Software, and to permit persons to whom the Software is
+ * furnished to do so, subject to the following conditions:
+ *
+ * The above copyright notice and this permission notice shall be included in all
+ * copies or substantial portions of the Software.
+ *
+ * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+ * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+ * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+ * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+ * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+ * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+ * SOFTWARE.
+ */
+#include "helpers.h"
+#if defined(DATA_TYPE) && defined(SRC_WIDTH) && defined(SRC_HEIGHT) && defined(SRC_DEPTH) && defined(DST_DEPTH)
+/** Perform a floor operation on an input tensor.
+ *
+ * @attention Data type can be passed using the -DDATA_TYPE compile flag, e.g. -DDATA_TYPE=float
+ * @attention Vector size should be given as a preprocessor argument using -DVEC_SIZE=size. e.g. -DVEC_SIZE=16
+ * @note Can only take floating point data types.
+ *
+ * @param[in]  input_ptr                            Pointer to the source image. Supported data types: All
+ * @param[in]  input_stride_x                       Stride of the source image in X dimension (in bytes)
+ * @param[in]  input_step_x                         input_stride_x * number of elements along X processed per workitem(in bytes)
+ * @param[in]  input_stride_y                       Stride of the source image in Y dimension (in bytes)
+ * @param[in]  input_step_y                         input_stride_y * number of elements along Y processed per workitem(in bytes)
+ * @param[in]  input_stride_z                       Stride of the source tensor in Z dimension (in bytes)
+ * @param[in]  input_step_z                         input_stride_z * number of elements along Z processed per workitem(in bytes)
+ * @param[in]  input_offset_first_element_in_bytes  The offset of the first element in the source image
+ * @param[out] output_ptr                           Pointer to the destination image. Supported data types: same as @p input_ptr
+ * @param[in]  output_stride_x                      Stride of the destination image in X dimension (in bytes)
+ * @param[in]  output_step_x                        output_stride_x * number of elements along X processed per workitem(in bytes)
+ * @param[in]  output_stride_y                      Stride of the destination image in Y dimension (in bytes)
+ * @param[in]  output_step_y                        output_stride_y * number of elements along Y processed per workitem(in bytes)
+ * @param[in]  output_stride_z                      Stride of the source tensor in Z dimension (in bytes)
+ * @param[in]  output_step_z                        output_stride_z * number of elements along Z processed per workitem(in bytes)
+ * @param[in]  output_offset_first_element_in_bytes The offset of the first element in the destination image
+ */
+__kernel void tile(
+    TENSOR4D_DECLARATION(input),
+    TENSOR4D_DECLARATION(output))
+{
+    Tensor4D output = CONVERT_TO_TENSOR4D_STRUCT(output, DST_DEPTH);
+    Tensor4D input  = CONVERT_TO_TENSOR4D_STRUCT_NO_STEP(input, SRC_DEPTH);
+
+    // For all coordinates but x, each tile copies from the input
+    const int y     = get_global_id(1);
+    const int z     = get_global_id(2) % DST_DEPTH;
+    const int batch = get_global_id(2) / DST_DEPTH;
+
+#if defined(VEC_SIZE) && defined(OFFSET)
+    // If we are loading/storing multiple elements at time, we need to
+    // not exceed the input boundaries. The last threads need to backtrack
+    // of OFFSET elements. Those elements cumulates for previous tiles
+    const int id = (int)(get_global_id(0));
+    int       x  = id * VEC_SIZE;
+
+    // Shift x based on the previous offsets
+    const int tile_number = x / SRC_WIDTH;
+    x -= (tile_number) * OFFSET;
+    int x_input = x % SRC_WIDTH;
+
+    // Shift x based on being the last tile
+    const int last_tile = (int)(x_input + VEC_SIZE > SRC_WIDTH);
+    x -= last_tile * OFFSET;
+    x_input = x % SRC_WIDTH;
+    output.ptr -= (tile_number + last_tile) * OFFSET * output_stride_x;
+
+    // Update the input pointer
+    input.ptr = tensor4D_offset(&input, x_input, y % SRC_HEIGHT, z % SRC_DEPTH, batch % SRC_BATCHES);
+
+    // Copy the data
+    VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE)
+    data = VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)input.ptr);
+
+    VSTORE(VEC_SIZE)
+    (data, 0, (__global DATA_TYPE *)output.ptr);
+#else  // !defined(VEC_SIZE) || !defined(OFFSET)
+    const int x = get_global_id(0);
+
+    // Update the input pointer
+    input.ptr = tensor4D_offset(&input, x % SRC_WIDTH, y % SRC_HEIGHT, z % SRC_DEPTH, batch % SRC_BATCHES);
+
+    *((__global DATA_TYPE *)(output.ptr)) = *((__global DATA_TYPE *)(input.ptr));
+#endif // defined(VEC_SIZE) && defined(OFFSET)
+}
+#endif // defined(DATA_TYPE) && defined(SRC_WIDTH) && defined(SRC_HEIGHT) && defined(SRC_DEPTH) && defined(DST_DEPTH)